Senior AI Engineer

ArgentinaRemoteRemote - Latamsenior

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

🚀 Join Our Data Products and Machine Learning Development Remote Startup!

Technical Tools

Machine Learning EngineerData

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Senior AI Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Amazon Web Services

Astronomer

Databricks

📊 We are Data Nerds

🤗 We are Open Team Players

🚀 We Take Ownership

🌟 We Have a Positive Mindset

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Design and build production-grade AI agents and LLM-powered systems.

Develop multimodal data ingestion and structured information extraction pipelines for unstructured data sources.

Integrate AI agents with tools, APIs, data sources, and MCP.

Build evaluation and testing frameworks to improve accuracy and reduce hallucinations.

Own AI solutions end-to-end, from requirements and architecture to deployment and optimization.

Strong Python experience building production-grade AI systems.

Hands-on experience with LLMs, AI Agents, and Agentic AI.

Experience with MCP, tool calling, and LLM orchestration frameworks.

Deep understanding of RAG architectures, knowledge graphs, and multimodal data parsing (e.g., audio, images, unstructured documents).

Experience with LLM evaluation, hallucination control, and testing.

Ability to design and deploy scalable AI solutions in production.

Advanced English and strong communication skills.